{"id":"W3174916273","doi":"10.5267/j.uscm.2021.5.001","title":"Food safety management and food quality in hospitality industry during covid-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Revenue; Marketing; Food safety; Hospitality; Food quality; Quality (philosophy); Hospitality industry; Population; Social distance; Advertising; Coronavirus disease 2019 (COVID-19); Tourism; Food science; Environmental health; Finance; Geography; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007141934,0.0001394885,0.0001131355,0.0007006684,0.0007283328,0.001535873,0.0002156186,0.0004730792,0.003055932],"category_scores_gemma":[0.002074946,0.0001003191,0.0002046261,0.0009798757,0.000598381,0.0005907842,0.0008704728,0.0007850003,0.0001660692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003756677,"about_ca_system_score_gemma":0.001664975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0378537,"about_ca_topic_score_gemma":0.05463748,"domain_scores_codex":[0.9994665,0.0001856131,0.00002043122,0.00003286555,0.00006486023,0.0002298618],"domain_scores_gemma":[0.9980325,0.0005248636,0.0007577934,0.00003057547,0.000240293,0.0004139152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001563811,0.0004131784,0.9809135,0.00006288396,0.0000340225,0.001075529,0.002711633,0.002345803,0.0004323607,0.002693437,0.0007971275,0.008364168],"study_design_scores_gemma":[0.000004510965,0.0001578326,0.9750671,0.00003938019,0.00001315708,0.00007913128,0.02027671,0.002617684,0.0001568374,0.0005403982,0.001036024,0.00001117413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953797,0.0001384965,0.00008928448,0.0006596736,0.000006490893,0.00001551487,0.0001053544,0.000001429544,0.003604091],"genre_scores_gemma":[0.999432,0.00009842083,0.00003261321,0.00002592026,0.000003517258,0.000002838089,0.00003055965,4.110858e-7,0.0003736845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0378537,"threshold_uncertainty_score":0.07526672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0615859266203769,"score_gpt":0.29086960944854,"score_spread":0.2292836828281631,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}